A geographic position of an agricultural machine is captured. Agricultural data is received that corresponds to a geographic position. Georeferenced visual indicia are displayed that are indicative of the received agricultural data.

An agricultural product application system includes a controller and product dispensing apparatus. The product dispensing apparatus includes a metering module in communication with the controller and is configured to control a flow rate of product from a product source to product dispensing units. A display device is in communication with the controller. The controller receives operating limits and an application rate of the product dispensing apparatus. The controller determines a forward speed range based upon the operating limits and on the application rate. Display information is generated for providing a visual representation on the display device of the forward speed range.

A system for determining agricultural vehicle guidance quality includes an imaging device configured to capture image data depicting a plurality of crops rows present within a field as an agricultural vehicle travels across the field. Additionally, the system includes a controller communicatively coupled to the imaging device. As such, the controller configured to determine a guidance line for guiding the agricultural vehicle relative to the plurality of crop rows based on the captured image data. Furthermore, the controller is configured to determine a crop row boundary consistency parameter associated with one or more crop rows of the plurality of crop row present within a region of interest of the captured image data. Moreover, the controller is configured to determine a quality metric for the guidance line based on the crop row boundary consistency parameter.

A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

The present invention discloses a method for selective crop management in real time. The method comprises steps of: (a) producing a biosensor plant, said biosensor plant comprises a visual biomarker, said biomarker is encoded by at least one modified genetic locus comprising (i) preselected reporter gene allele having a phenotype detectable by a sensor, and (ii) a regulatory region of a preselected gene allele responsive to at least one parameter or condition of said plant or its environment, said regulatory region is operably linked to said reporter gene, such that the expression of said reporter gene phenotype is correlated with the status of said at least one parameter or condition of said biosensor plant or its environment; (b) acquiring image data of a target area comprising a plurality of said biosensor plants via said sensor and processing said data to generate a signal indicative of the phenotypic expression of said reporter gene allele of said biosensor plant; and (c) communicating said signal to an execution unit communicably linked to the sensor, said execution unit is capable of exerting in real time a selective monitoring and/or treatment of said target area or a portion thereof comprising said biosensor plants, said treatment is being responsive to said status of said parameter or condition of the biosensor plant or its environment. The present invention further discloses systems and plants related to the aforementioned method.

A pesticide volume meter for a pesticide spray system comprises a flow sensor, which measures a flow rate of a pesticide dispensed by the pesticide spray system. The pesticide volume meter also comprises a memory and a control unit. The control unit determines a volume of pesticide dispensed by the pesticide spray system based on the measured flow rate, and stores the determined volume in the memory.

A farming machine moves through a field and performs one or more farming actions (e.g., treating one or more plants) in the field. Portions of the field may include moisture, such as puddles or mud patches. A control system associated with the farming machine may include a traversability model and/or a moisture model to help the farming machine operate in the field with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the farming machine attempting to traverse an untraversable portion of the field, and the control system may employ the moisture model to reduce the likelihood of the farming machine performing an action that will damage a portion of the field.

An agricultural sprayer includes a nozzle assembly having a nozzle body, a valve moveably positioned within the nozzle body, and an actuator configured to move the valve within the nozzle body. Additionally, the agricultural sprayer includes a computing system having a spray controller positioned outside of the nozzle body and a nozzle controller positioned within the nozzle body. The spray controller is communicatively coupled to the nozzle controller such that the spray controller is configured to transmit control signals to the nozzle controller via a first communicative link, with the nozzle being controller configured to control an operation of the actuator based on the control signals received from the spray controller. Moreover, the spray controller is communicatively coupled to the actuator such that the spray controller is configured to directly control the operation of the actuator via a second communicative link independently of the nozzle controller.

Kits for vehicles may include pulse-width-modulated solenoids configured to selectably turn individual nozzle assemblies on and off and vary their flow rates when installed in fluid communication with the nozzle assemblies, one or more wirelessly-controllable solenoid controllers, a wiring harness to electrically connect the pulse-width-modulated solenoids to the controller(s), a wirelessly-communicating GPS antenna system, a LiDAR sensing system which may be wirelessly-communicating, associated wiring and bracketry to connect the kit with a vehicle, and a mobile device configured to wirelessly cause the one or more controllers to turn individual nozzle assemblies on and off and vary their flow rates based on sensed data and/or recorded data, in view of user-selected criteria.

The invention relates to a sprayer of the type comprising a turbine that generates an air current, a nozzle that channels the air current and an outlet of this current to the outside, carrying with it the product dosed by a series of nozzles arranged in the area of influence of the air current, the sprayer being special in that both the air outlet opening and the turbine can be configured and act in a coordinated manner to obtain the desired air flow for each type of crop and spray application, where the optimum air flow for each spray application and the configuration of the turbine and opening are determined by the actual sprayer by means of a processor and auxiliary means.